Skip to main content
Log in

Information Technology for the Analysis of Mimic Expressions of Human Emotional States

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

An information technology is presented with the help of which facial expressions of human emotional states have been analyzed. Facial areas are revealed whose mimic changes are distinctive features for modeling and recognizing visual manifestations of emotional states. Eleven mimic expressions of emotional states are identified whose combinations describe visual manifestations of emotions. The results obtained by the proposed information technology almost coincide with the results obtained by experts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Iu. V. Krak, O. V. Barmak, and E. M. Baraban, “Using NURBS-approximation for the construction of a spatial human face model,” Probl. Upravl. Inf., No. 1, 147–156 (2011).

  2. Iu. G. Kryvonos and Iu. V. Krak, “Modeling human hand movements, facial expressions, and articulation to synthesize and visualize gesture information,” Cybernetics and Systems Analysis, 47, No. 4, 501–505 (2011).

    Article  Google Scholar 

  3. Iu. G. Kryvonos, Iu. V. Krak, O. V. Barmak, and D. V. Shkilniuk, “Construction and identification of elements of sign communication,” Cybernetics and Systems Analysis, 49, No. 2, 163–172 (2013).

    Article  Google Scholar 

  4. K. Izard, The Psychology of Emotions [Russian translation], Piter, St. Petersburg (2000).

    Google Scholar 

  5. E. P. Ilyin, Emotions and Feelings [in Russian], Piter, St. Petersburg (2001).

    Google Scholar 

  6. V. O. Leontiev, Classification of Emotions [in Russian], Innovative and Mortgage Center, Odessa (2002).

    Google Scholar 

  7. R. Brunelli and T. Poggio, “Face recognition: Features versus templates,” IEEE Trans. on Pattern Analysis and Machine Intellig., 15, No. 10, 1042–1052 (1993).

    Article  Google Scholar 

  8. A. Martinez and S. Du, “A model of perception of facial expressions of emotion by human: Research overview and perspectives,” J. Machine Learning Res., 13, 1589–1608 (2012).

    MathSciNet  Google Scholar 

  9. Yu. G. Krivonos, Yu. V. Krak, O. V. Barmak, et al., “Modeling and analysis of facial expressions of emotions,” Dop. NAN Ukr., No. 12, 51–55 (2008).

  10. M. J. Fehrenbach and S. W. Herring, Illustrated Anatomy of the Head and Neck, 4th Edition, Elsevier. Amsterdam–London–New York (2012).

    Google Scholar 

  11. D. Forsyth and J. Ponce, Computer Vision: A Modern Approach [Russian translation], Publishing House Williams, Moscow (2004).

    Google Scholar 

  12. A. Konushin, “Tracking feature points of a scene,” Computer Graphics and Multimedia, No. 1 (5) (2003), http://cgm.computergraphics.ru/content/view/54.

  13. Pyramidal Implementation of the Lucas–Kanade Feature Tracker Description of the Algorithm, http://robots.stanford.edu/cs223b04/algo_tracking.pdf.

  14. LINQ to SQL, http://msdn.microsoft.com/ru-ru/library/bb386976.aspx (v=vs.110).

  15. OpenCV (Open Source Computer Vision), http://opencv.org/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iu. G. Kryvonos.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 30–39, January–February, 2015.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kryvonos, I.G., Krak, I.V., Barmak, O.V. et al. Information Technology for the Analysis of Mimic Expressions of Human Emotional States. Cybern Syst Anal 51, 25–33 (2015). https://doi.org/10.1007/s10559-015-9693-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10559-015-9693-1

Keywords

Navigation